Nikola Mrkšić, PhD
Academic career
- Elected to the title – 2019, School of Computing, Computer Science, Intelligent Systems
- PhD – 2018, University of Cambridge UK, Computer Science, Computer Science
- MSc – 2014, University of Cambridge, UK, Computer Science, Computer Science
- BCs – 2013, University of Cambridge, UK, Computer Science, Computer Science
Scientific and professional production
1.Nikola Mrkšić, Data-Driven Language Understanding for Spoken Dialogue Systems, Lambert Academic Publishing, Saarbrücken, Germany, 2019, ISBN 978-613-9-47303-8, 156 pages
2.Milica Gašić, Nikola Mrkšić, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve Young, „Dialogue manager domain adaptation using Gaussian process reinforcement learning“, Computer Speech and Language, Vol. 45, 2017, pp. 552-569. ISSN 0885-2308, IF 2017: 1.776.
3.Nikola Mrksic, Ivan Vulic: Fully Statistical Neural Belief Tracking. Proc. 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 15 – 20, 2018, pp. 108-113.
4.Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. Proc. Conference on Empirical Methods in Natural Language Processing, Oct. 31–Nov. 4, Brussels, Belgium, 2018, pp. 282-293.
5.Pei-Hao Su, Nikola Mrksic, Iñigo Casanueva, Ivan Vulic: Deep Learning for Conversational AI. Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, LA, USA, June 1st, 2018, pp. 27-32.
6.Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen: Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, June 1-6, 2018, pp. 516-527.
7.Ivan Vulic, Nikola Mrksic: Specialising Word Vectors for Lexical Entailment. Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, June 1-6, 2018, pp.1134-1145.
8.Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young: Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. Transactions of the Association for Computational Linguistics, 5: 309-324 (2017).
9.Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen: Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. Proc. 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, July 30 – August 4, 2017, pp. 56-68.
10.Stefan Ultes, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Pawel Budzianowski, Nikola Mrksic, Tsung-Hsien Wen, Milica Gasic, Steve J. Young: PyDial: A Multi-domain Statistical Dialogue System Toolkit. Proc. the 55th Annual Meeting of the Association for Computational Linguistics (Sys Demonstrations), Vancouver, Canada, July 30 – August 4, 2017, pp. 73-78.